AI House Price Predictor 🏠

This is a web application that predicts house prices based on various features. The project is built with Python, Flask, and Scikit-learn, featuring a modern, responsive UI.

Features

• Predicts house prices in real-time.
• Dynamic front-end with no page reloads on submission.
• Interactive sliders for certain inputs.
• Clean, modern UI with a "glassmorphism" design.

Technologies Used

• Backend: Python, Flask
• Machine Learning: Scikit-learn, Pandas, NumPy, Joblib
• Frontend: HTML, CSS, JavaScript, Bootstrap

How to Run This Project Locally

1. Clone the repository:

   git clone [https://github.com/YourUsername/YourProjectName.git](https://github.com/YourUsername/YourProjectName.git)

2. Navigate to the project directory:

   cd YourProjectName

3. Create and activate a virtual environment:

   python -m venv venv
   venv\Scripts\activate

4. Install the required packages:

   pip install -r requirements.txt

5. Run the Flask application:

   python app.py

6. Open your browser and go to http://127.0.0.1:5000.